Professional Microsoft SQL Server Analysis Services 2008 by Sivakumar Harinath

By Sivakumar Harinath

Whilst used with the MDX question language, SQL Server research providers permits builders to construct full-scale database purposes to aid such company features as budgeting, forecasting, and industry analysis.Shows readers the best way to construct facts warehouses and multi-dimensional databases, question databases, and use research providers and different elements of SQL Server to supply end-to-end solutionsRevised, up-to-date, and stronger, the publication discusses new good points akin to stronger integration with workplace and Excel 2007; question functionality improvements; advancements to aggregation clothier, measurement clothier, dice and measurement wizards, and phone writeback; extensibility and personalization; info mining; and extra

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SMDL then helps you to analyze and report the data to satisfy your business needs. Exploring Data Once you have a model and the underlying data, you need to explore the data to interpret and get the intelligence from the data that will help you to meet your business needs. SQL Server Reporting Services helps you to explore the data from your models via two ways: ad-hoc analysis using Report Builder and through a structured format using Report Designer. Report Builder and Report Designer help you to easily explore the data using the models without the need of learning the query language to query your database engines.

Product PK Product ID Product Product Product Product SKU Name Sub Category Category Sales Fact PK,FK1 PK,FK2 PK,FK3 Product ID Time ID Store ID Sales Quantity Sales Amount Time PK Time ID Day Month Year Store PK Store ID StoreName City Country Phone Manager Size in SQFT Figure 1-6 11 Part I: Introduction The star schema provides you with an illustration of the relationships between business entities in a clear and easy-to-understand fashion. Further, it enables number crunching of the measures in the fact table to progress at amazing speeds.

For the sake of simplicity, assume you have only three product sizes for the organic honey (8-ounce, 10-ounce, and 12-ounce) and two promotion states (“no promotion” and a “two-for-one promotion for the 8-ounce jars”). Further, assume the Time dimension contains different levels for Year, Month, Week, and Day. ” By analyzing the sales results each week across the three product sizes you 13 Part I: Introduction could easily find out that there was an increase in the count of 8-ounce jars of honey sold, but perhaps the total sales across all sizes did not increase due to the promotion.

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